NVIDIA Jetson Nano Benchmarks Intel Core i9-9820X with 2080 ti Jetson Nano: Processor: ARMv8 rev 1 @ 1.43GHz (4 Cores), Motherboard: jetson-nano, Memory: 4096MB, Disk: 32GB GB1QT, Graphics: NVIDIA Tegra X1, Monitor: VE228, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 32.1.0, OpenGL: 4.6.0, Vulkan: 1.1.85, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Nano: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 nano: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Nano 5W: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Workstation 2080 ti: Processor: Intel Core i9-9820X @ 3.30GHz (10 Cores / 20 Threads), Motherboard: ASUS ROG STRIX X299-XE GAMING (0802 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 64512MB, Disk: 480GB INTEL SSDPED1D480GA + 2000GB Samsung SSD 970 EVO 2TB + 1000GB Seagate BarraCud, Graphics: ASUS NVIDIA GeForce GTX 1070 8GB (139/405MHz), Audio: Realtek ALC1220, Network: Intel I219-V + Realtek RTL8822BE 802.11a/b/g/n/ac OS: Ubuntu 18.04, Kernel: 4.15.0-55-generic (x86_64), Display Server: X Server 1.19.6, Display Driver: NVIDIA 418.56, Compiler: GCC 7.4.0 + CUDA 10.1, File-System: ext4 CUDA Mini-Nbody 2015-11-10 Test: Original (NBody^2)/s > Higher Is Better Jetson Nano ......... 4.09 | nano ................ 3.07 | Nano 5W ............. 3.06 | Workstation 2080 ti . 445.09 |================================================= CUDA Mini-Nbody 2015-11-10 Test: Cache Blocking (NBody^2)/s > Higher Is Better Jetson Nano ......... 8.47 |= nano ................ 5.67 | Nano 5W ............. 5.67 | Workstation 2080 ti . 590.98 |================================================= CUDA Mini-Nbody 2015-11-10 Test: Loop Unrolling (NBody^2)/s > Higher Is Better Jetson Nano ......... 8.93 |= nano ................ 6.00 | Nano 5W ............. 6.00 | Workstation 2080 ti . 592.89 |================================================= CUDA Mini-Nbody 2015-11-10 Test: SOA Data Layout (NBody^2)/s > Higher Is Better Jetson Nano ......... 3.66 | nano ................ 2.44 | Nano 5W ............. 2.44 | Workstation 2080 ti . 442.64 |================================================= CUDA Mini-Nbody 2015-11-10 Test: Flush Denormals To Zero (NBody^2)/s > Higher Is Better Jetson Nano ......... 3.66 | nano ................ 2.44 | Nano 5W ............. 2.44 | Workstation 2080 ti . 449.08 |================================================= GLmark2 276 Resolution: 800 x 600 Score > Higher Is Better Jetson Nano . 1915 |=========================================================== GLmark2 276 Resolution: 1024 x 768 Score > Higher Is Better Jetson Nano . 1362 |=========================================================== GLmark2 276 Resolution: 1280 x 1024 Score > Higher Is Better Jetson Nano . 904 |============================================================ GLmark2 276 Resolution: 1920 x 1080 Score > Higher Is Better Jetson Nano . 646 |============================================================ NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 10.29 |= Nano 5W ............. 9.15 |= Workstation 2080 ti . 672.34 |================================================= NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 14.18 | Nano 5W ............. 10.92 | Workstation 2080 ti . 1627.50 |================================================ NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 14.60 | Nano 5W ............. 10.99 | Workstation 2080 ti . 1994.37 |================================================ NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 8.70 |= Nano 5W ............. 7.64 |= Workstation 2080 ti . 593.63 |================================================= NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 11.61 | Nano 5W ............. 8.83 | Workstation 2080 ti . 1380.53 |================================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 54.86 |== Nano 5W ............. 57.10 |== Workstation 2080 ti . 1397.69 |================================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 115 |= Nano 5W ............. 107 |= Workstation 2080 ti . 4225 |=================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 134 |= Nano 5W ............. 111 |= Workstation 2080 ti . 7486 |=================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 40.48 |= Nano 5W ............. 38.45 |= Workstation 2080 ti . 1308.48 |================================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 82.30 |= Nano 5W ............. 69.06 |= Workstation 2080 ti . 4699.32 |================================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 92.54 |= Nano 5W ............. 71.92 | Workstation 2080 ti . 8329.26 |================================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 169 |= Nano 5W ............. 122 |= Workstation 2080 ti . 10425 |================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 202 |= Nano 5W ............. 149 | Workstation 2080 ti . 17017 |================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 113.76 | Nano 5W ............. 83.12 | Workstation 2080 ti . 13064.06 |=============================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 128.55 | Nano 5W ............. 89.88 | Workstation 2080 ti . 20460.92 |=============================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 27.37 |== Nano 5W ............. 25.70 |== Workstation 2080 ti . 657.12 |================================================= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 40.65 |= Nano 5W ............. 30.14 |= Workstation 2080 ti . 2615.66 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 42.05 |= Nano 5W ............. 30.90 | Workstation 2080 ti . 3772.39 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 14.61 |= Nano 5W ............. 13.79 |= Workstation 2080 ti . 1119.62 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 20.59 | Nano 5W ............. 16.21 | Workstation 2080 ti . 2991.18 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 22.16 | Nano 5W ............. 16.62 | Workstation 2080 ti . 5152.73 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 65.61 |=== Nano 5W ............. 59.39 |=== Workstation 2080 ti . 951.07 |================================================= NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 85.12 |== Nano 5W ............. 66.29 |= Workstation 2080 ti . 2528.75 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 85.92 |= Nano 5W ............. 67.95 |= Workstation 2080 ti . 4253.05 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 35.87 |= Nano 5W ............. 33.25 |= Workstation 2080 ti . 1751.23 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 47.83 |= Nano 5W ............. 37.68 | Workstation 2080 ti . 4083.15 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 49.18 | Nano 5W ............. 38.70 | Workstation 2080 ti . 6944.65 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 10.09 |== Nano 5W ............. 10.12 |== Workstation 2080 ti . 286.25 |================================================= NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 15.78 |= Nano 5W ............. 11.39 |= Workstation 2080 ti . 974.27 |================================================= NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 16.42 |= Nano 5W ............. 11.79 | Workstation 2080 ti . 1560.08 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 5.45 |= Nano 5W ............. 5.32 |= Workstation 2080 ti . 513.43 |================================================= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 44.49 | Nano 5W ............. 32.14 | Workstation 2080 ti . 4959.15 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 46.26 | Nano 5W ............. 32.79 | Workstation 2080 ti . 5648.51 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 23.82 | Nano 5W ............. 17.31 | Workstation 2080 ti . 8574.71 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 25.01 | Nano 5W ............. 17.65 | Workstation 2080 ti . 10388.17 |=============================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 93.33 |= Nano 5W ............. 69.68 |= Workstation 2080 ti . 6636.29 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 98.75 |= Nano 5W ............. 70.57 | Workstation 2080 ti . 7789.42 |================================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 52.19 | Nano 5W ............. 39.60 | Workstation 2080 ti . 11702.11 |=============================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 55.47 | Nano 5W ............. 40.12 | Workstation 2080 ti . 15735.20 |=============================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 16.98 | Nano 5W ............. 12.13 | Workstation 2080 ti . 2054.51 |================================================ NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano ......... 17.28 | Nano 5W ............. 12.30 | Workstation 2080 ti . 2323.06 |================================================ Java 2D Microbenchmark 1.0 Rendering Test: Text Rendering Units Per Second > Higher Is Better Jetson Nano . 6226.12 |======================================================== Java 2D Microbenchmark 1.0 Rendering Test: Image Rendering Units Per Second > Higher Is Better Jetson Nano . 897658.51 |====================================================== Java 2D Microbenchmark 1.0 Rendering Test: Vector Graphics Rendering Units Per Second > Higher Is Better Jetson Nano . 486283.59 |====================================================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer MB/s > Higher Is Better Jetson Nano ......... 7944 |=============== Nano 5W ............. 6550 |============ Workstation 2080 ti . 27032 |================================================== RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer MB/s > Higher Is Better Jetson Nano ......... 9544 |==================== Nano 5W ............. 8048 |================= Workstation 2080 ti . 23579 |================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better Jetson Nano ......... 9142 |================= Nano 5W ............. 7090 |============= Workstation 2080 ti . 26741 |================================================== RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer MB/s > Higher Is Better Jetson Nano ......... 4856 |========= Nano 5W ............. 5168 |========= Workstation 2080 ti . 28458 |================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better Jetson Nano ......... 7840 |=============== Nano 5W ............. 6710 |============= Workstation 2080 ti . 26489 |================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 128 MiB MiB/s > Higher Is Better Jetson Nano ......... 3420 |================== Nano 5W ............. 2963 |================ Workstation 2080 ti . 9551 |=================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 512 MiB MiB/s > Higher Is Better Jetson Nano ......... 3439 |=================== Nano 5W ............. 2977 |================ Workstation 2080 ti . 9473 |=================================================== MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 128 MiB MiB/s > Higher Is Better Jetson Nano ......... 3450 |=================== Nano 5W ............. 2963 |================= Workstation 2080 ti . 9072 |=================================================== MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 512 MiB MiB/s > Higher Is Better Jetson Nano ......... 3449 |=================== Nano 5W ............. 2967 |================= Workstation 2080 ti . 9129 |=================================================== t-test1 2017-01-13 Threads: 1 Seconds < Lower Is Better Jetson Nano ......... 80.31 |==================================== Nano 5W ............. 110.70 |================================================= Workstation 2080 ti . 43.02 |=================== t-test1 2017-01-13 Threads: 2 Seconds < Lower Is Better Jetson Nano ......... 27.35 |==================================== Nano 5W ............. 37.54 |================================================== Workstation 2080 ti . 12.81 |================= LeelaChessZero 0.20.1 Backend: BLAS Nodes Per Second > Higher Is Better Jetson Nano . 15.34 |========================================================== LeelaChessZero 0.20.1 Backend: CUDA + cuDNN Nodes Per Second > Higher Is Better Jetson Nano . 139 |============================================================ x264 2018-09-25 H.264 Video Encoding Frames Per Second > Higher Is Better Jetson Nano . 5.12 |=========================================================== Nano 5W ..... 2.31 |=========================== 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Jetson Nano . 4050 |=========================================================== Nano 5W ..... 2032 |============================== Timed Linux Kernel Compilation 4.18 Time To Compile Seconds < Lower Is Better Jetson Nano . 2379 |========================== Nano 5W ..... 5479 |=========================================================== XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Seconds < Lower Is Better Jetson Nano . 44.43 |========================================================== Zstd Compression 1.3.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 Seconds < Lower Is Better Jetson Nano . 127.28 |=========================================================